You will:
- Collaborate with stakeholders and SMEs to understand problem statements
- Work closely with like-minded individuals in enhancing data collection procedures
- Assemble large, complex data sets that meet business requirements.
- Design, build, support and optimize new and existing data models and ETL processes.
- Work closely with the team to setup architectural design, infrastructure, and building data pipelines to integrate with data lakes and data mining models.
- Define and manage SLA for all data processes and own data quality issues.
- Apply statistical concepts to research, decipher data to provide actionable insights
- Ability to perform exploratory data analysis using Excel, Microsoft Power BI, SAS, R, Python etc
- Ability to understand business requirements and derive analytical solutions from data science
- Structure and synthesize the discussion and ideas, make good presentation – PPT
- Perform other duties and responsibilities, as assigned
You should have:
- Preferably with at least 4 years of relevant experience with a proven track record in applying data analytics to business
- Strong data modeling, system/schema design, SQL and ETL implementation skills
- Proficient in data science language like Python, R and SQL
- Knowledgeable in statistics knowledge
- Hands-on experience of integrating open-source big data technologies like Hive, Spark etc into traditional systems.
- Hands-on experience with Oracle, MySQL and NoSQL databases
- Good understanding of building a scalable system
- Project management skills and commitment to performance improvement
- Self-motivated and driven learner who is willing to share knowledge with the team
- Strong communication skills, visualization and ability to collaborate with a diversified team are required
Sounds like you? Let’s meet! Click ‘Want to Visit,’ so we can set up a time for you to meet us!